Hi,
Gael, Dav in particular?
There's a new routine in nipy.io.imageformats called
'as_closest_canonical', that is designed to reorder an image data
matrix so that it is as close as possible to canonical (XYZ) order -
for your visualization pleasure. As in:
import nipy.io.imageformats as nii
sag_img = nii.load('sagittal.nii')
ax_img = nii.as_closest_canonical(sag_img)
It's in lp:~nipy-developers/nipy/trunk-mb
Does it work? I'd be very grateful for your testing feedback...
See you,
Matthew